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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1 @@
+MIT

README.md

@@ -1,3 +1,64 @@
----
-license: mit
----
+# Solidity-CodeGen-v0.1
+
+Solidity-CodeGen-v0.1 is a fine-tuned LLM specialized for generating Solidity smart contracts with modern OpenZeppelin patterns. It works best when paired with the OpenZeppelin Contracts MCP (Model Context Protocol) to produce canonical ERC and Governor implementations.
+
+- Base: Qwen3 (tuned for Solidity codegen)
+- Context length: Served via vLLM (up to 32k with server)
+- Recommended: Use with OpenZeppelin MCP locally for highest-quality results
+
+## How to Load
+Transformers:
+from transformers import AutoTokenizer, AutoModelForCausalLM
+tok = AutoTokenizer.from_pretrained("credshields/Solidity-CodeGen-v0.1")
+model = AutoModelForCausalLM.from_pretrained("credshields/Solidity-CodeGen-v0.1", torch_dtype="auto", device_map="auto")
+
+
+vLLM:
+vllm serve YOUR_ORG/Solidity-CodeGen-v0.1 --dtype auto --port 8005
+
+
+## Recommended: Use OpenZeppelin MCP (Locally)
+For best results, run the official OpenZeppelin Contracts MCP locally and route ERC20/721/1155 and Governor requests through it.
+- GitHub: https://github.com/OpenZeppelin/openzeppelin-mcp
+- NPM: https://www.npmjs.com/package/@openzeppelin/contracts-mcp
+
+
+This model card does not include MCP files; use the official OZ MCP project locally.
+
+## Prompting Guide (No MCP)
+When MCP is unavailable, use structured prompts:
+
+- Start with:
+  - “Generate only Solidity code in a single ```
+  - “Solidity: ^0.8.27 and OpenZeppelin v5 imports only (@openzeppelin/contracts/...).”
+- Specify contract type, features, and constraints.
+
+Example (ERC20 minimal, mintable):
+Generate only Solidity code in a single ```
+Solidity: ^0.8.27, OpenZeppelin v5 imports only.
+Contract: ERC20 token
+Name: TestToken
+Symbol: TEST
+Features: Ownable, mint(address,uint256) onlyOwner
+Constraints:
+Imports: ERC20, Ownable
+constructor(address initialOwner) and Ownable(initialOwner)
+No burn, no pause, no permit
+
+
+## Quality and Limitations
+- With MCP: ERC20/721/1155 and Governor scaffolds are canonical; custom templates are solid but require review.
+- Without MCP: Basic patterns work with structured prompts; complex protocols require expert review.
+- Always test and audit generated code before production.
+
+## Files Included
+- Model weights and tokenizer
+- Optional requirements files for Transformers/vLLM
+- No MCP/server code included; use official OZ MCP locally.
+
+## License
+- Model weights: see LICENSE.
+- Generated code: user responsibility; OpenZeppelin Contracts are MIT-licensed.
+
+## Note
+Early version—acts mainly as a custom template generator, not a full, production‑ready contract.

added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,86 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

@@ -0,0 +1,70 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 262144,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151654,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 5000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.4",
+  "unsloth_fixed": true,
+  "unsloth_version": "2025.9.7",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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requirements/transformers.txt

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+# Core ML libraries
+torch==2.7.1
+transformers==4.55.4
+accelerate==1.10.0
+tokenizers==0.21.4
+safetensors==0.6.2
+sentencepiece==0.2.1
+
+# FastAPI and server
+fastapi==0.116.0
+uvicorn==0.35.0
+pydantic==2.11.7
+starlette==0.46.2
+
+# Additional required packages
+numpy==2.2.6
+requests==2.32.5
+Jinja2==3.1.6
+packaging==25.0
+filelock==3.19.1
+huggingface-hub==0.34.4
+tqdm==4.67.1
+PyYAML==6.0.2
+regex==2025.7.34
+
+# NVIDIA CUDA packages
+nvidia-cublas-cu12==12.6.4.1
+nvidia-cuda-cupti-cu12==12.6.80
+nvidia-cuda-nvrtc-cu12==12.6.77
+nvidia-cuda-runtime-cu12==12.6.77
+nvidia-cudnn-cu12==9.5.1.17
+nvidia-cufft-cu12==11.3.0.4
+nvidia-curand-cu12==10.3.7.77
+nvidia-cusolver-cu12==11.7.1.2
+nvidia-cusparse-cu12==12.5.4.2
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.6.85
+
+# Additional utilities
+einops==0.8.1
+typing_extensions==4.14.1
+fsspec==2025.3.0
+sympy==1.14.0
+networkx==3.4.2
+mpmath==1.3.0

requirements/vllm.txt

@@ -0,0 +1,53 @@
+# vLLM and dependencies
+vllm==0.10.1
+torch==2.7.1
+transformers==4.56.2
+tokenizers==0.22.1
+xformers==0.0.31
+
+# FastAPI and server
+fastapi==0.117.1
+uvicorn==0.37.0
+pydantic==2.11.9
+starlette==0.48.0
+
+# Core dependencies
+numpy==2.2.6
+requests==2.32.5
+aiohttp==3.12.15
+Jinja2==3.1.6
+packaging==25.0
+filelock==3.19.1
+huggingface-hub==0.35.1
+tqdm==4.67.1
+PyYAML==6.0.2
+
+# vLLM specific
+ray==2.49.2
+triton==3.3.1
+xgrammar==0.1.21
+outlines_core==0.2.10
+compressed-tensors==0.10.2
+safetensors==0.6.2
+sentencepiece==0.2.1
+
+# NVIDIA CUDA packages
+nvidia-cublas-cu12==12.6.4.1
+nvidia-cuda-cupti-cu12==12.6.80  
+nvidia-cuda-nvrtc-cu12==12.6.77
+nvidia-cuda-runtime-cu12==12.6.77
+nvidia-cudnn-cu12==9.5.1.17
+nvidia-cufft-cu12==11.3.0.4
+nvidia-curand-cu12==10.3.7.77
+nvidia-cusolver-cu12==11.7.1.2
+nvidia-cusparse-cu12==12.5.4.2
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.6.85
+
+# OpenAI compatibility
+openai==1.109.0
+tiktoken==0.11.0
+typing_extensions==4.14.1
+einops==0.8.1
+fsspec==2025.9.0
+psutil==7.1.0

special_tokens_map.json

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+{
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+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

tokenizer_config.json

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